Causality in Machine Learning
Tim and Alex delve into the complexities of defining causality in machine learning, highlighting the practicality of Pearl's do calculus and the significance of counterfactual reasoning. They discuss the impact of lacking causality in models, using Zillow's market downfall as a cautionary tale.In this clip
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Machine Learning Street Talk (MLST)
#66 ALEXANDER MATTICK - [Unplugged / Community Edition]
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